Data Engineer ⚙️

Location: Onsite, hybrid or remote Germany

Salary: Up to €80k 💰

Tech Stack: Python, Kubernetes, AWS, DBT, SQL, Pandas, Numpy, Airflow

A highly progressive team reshaping, digitalising and overall modernising a sector with a mission to rebrand it’s reputation! You’ll be joining their vision of creating an “layer” never done before 🔮

This team is the best of both worlds, meaning they are a successful start-up, with a strong established market fit but also have the beauty of being owned and backed by one of the largest corporates in its field 💰

Role:

  • Developing scalable data pipelines and data models – including performing data cleaning, transformation, and quality checks.
  • Collaborate closely with the data scientists/analysts and ensure that the team and stakeholders have access to the required quality data sets at all times
  • Continuously improve on the scalable data infrastructure, including measures to ensure data quality, monitoring and testing

Requirements:

  • 3+ years of PYTHON 🐍 experience
  • At least B1 German speaking
  • Advanced knowledge in SQL and relational databases
  • Strong coding skills in Python (Pandas, Numpy etc.) and SQL (postgres, MySQL etc).
  • Experience with code version systems and cloud platforms
  • Experience with workflow management/ETL tools (Airflow, AWS Glue, Luigi etc).